Multi-Camera Color Balance and Exposure Synchronization
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Solution Overview
Problem
Existing multi-camera systems face challenges in synchronizing color balance and exposure across cameras, leading to disruptions in videoconferencing experiences due to differences in color and exposure between cameras, which are often manually calibrated and require specialized equipment or post-production adjustments.
Innovation Solution
A multi-camera system utilizing artificial intelligence and a color balance unit to dynamically adjust color balance and exposure settings across cameras based on chromaticity coordinates and spatial distributions, allowing for seamless synchronization without manual calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration with specialized calibration targets is used, then color balance synchronization between cameras is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system performs automatic color balance calibration without requiring manual intervention or specialized calibration targets. Each camera captures images of the same scene, and the system automatically compares chromaticity coordinates across cameras to compute and apply correction factors, eliminating the need for manual calibration procedures while achieving synchronized color balance across all cameras
Solution Approach 2:
The system introduces an intermediary processing stage that captures images of the same scene from multiple cameras, compares their chromaticity coordinates, and computes correction factors. This intermediary comparison process enables automatic synchronization without requiring direct manual adjustment or specialized calibration equipment, resolving the contradiction between precision and ease of operation
2Device complexity
If fixed color and exposure settings are used in broadcast settings, then device complexity is reduced, but adaptability to different environments deteriorates
Solution Approach 1:
The system transitions from fixed static color and exposure settings to dynamic automatic adjustment. Each camera continuously monitors its own chromaticity coordinates and compares them with other cameras in the multi-camera system, automatically adjusting color balance and exposure settings in real-time to adapt to changing lighting conditions while maintaining consistency across all views
Solution Approach 2:
The system implements feedback mechanisms where each camera's color and exposure settings are continuously monitored and adjusted based on real-time comparisons with other cameras. The chromaticity coordinate data serves as feedback that triggers automatic correction factors to be applied, enabling the system to adapt to environmental changes without increasing operational complexity
3Ease of operation
If each camera runs auto-exposure independently, then ease of operation is improved, but continuity of video stream deteriorates
Solution Approach 1:
The system merges the independent auto-exposure operations of multiple cameras into a coordinated unified control. Each camera continues to use automatic exposure control for ease of operation, but the system compares exposure settings across cameras and applies correction factors to ensure consistent exposure levels, thereby maintaining video stream continuity while preserving the ease of automatic operation
Solution Approach 2:
The system uses feedback from chromaticity coordinate comparisons to adjust exposure settings. Each camera's exposure settings are continuously monitored and adjusted based on real-time comparisons with other cameras, ensuring that automatic exposure control maintains consistency across all views and preserves video stream continuity without requiring manual coordination
Data Source
AI summary
Consistent with disclosed embodiments, systems and methods for adjusting color balance across multiple cameras. Embodiments of the present disclosure may include a color balance unit. The color balance unit may include at least one processor programmed to receive at least one white point candidate and a spatial distribution from a first camera among a plurality of cameras and at least one white point candidate and a spatial distribution from a second camera among the plurality of cameras. The at least one processor may be configured to compare the at least one white point candidate and the spatial distribution received from the first camera with the at least one white point candidate and the spatial distribution received from the second camera and determine, based on the comparing, a target color balance level for use by one or more of the plurality of cameras in adjusting a color balance setting. The at least one processor may be further programmed to distribute the target color balance level to the one or more of the plurality of cameras.